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Create a launch plan for a high-risk Rides feature for commuters at global scale

Problem Statement Description

Product context: Uber is a mobility and delivery platform; its products include rides, Uber Eats, grocery and retail delivery, freight, driver and courier tools, and marketplace pricing.

You are the PM responsible for launching a high-risk Uber Rides feature aimed at commuters across multiple global markets. The feature is expected to affect recurring weekday travel behavior, where riders are highly sensitive to reliability, ETA accuracy, pricing predictability, pickup experience, safety, and cancellation risk. Because commuter trips often happen during peak-demand windows, the launch may also impact driver supply, marketplace balance, surge dynamics, support volume, and city-level operations.

Your task is to create a launch plan that could work at Uber’s global scale while still accounting for local market differences such as regulations, airport or business-district restrictions, payment methods, driver incentives, competitive intensity, and commuter behavior. The plan should show how you would move from internal readiness to market rollout without compromising rider trust, driver experience, safety, or marketplace health.

This is an execution-focused question. You are not being asked to design the feature itself or prove that the strategy is correct; instead, focus on how to safely operationalize and launch a risky Rides feature with clear ownership, sequencing, validation, and risk controls.

The launch plan should consider:

- Target launch scope, including which rider segments, trip types, cities, and commute use cases are included or excluded

- Cross-functional owners across Product, Engineering, Data Science, Safety, Legal/Policy, Operations, Support, Marketing, and Driver teams

- Pre-launch readiness, including QA, marketplace simulations, operational playbooks, driver/rider communications, support training, and legal review

- Sequencing across dogfood, internal pilot, limited city beta, controlled expansion, and global rollout

- Go/no-go criteria tied to reliability, safety, marketplace liquidity, conversion, cancellation rate, ETA accuracy, support contacts, and unit economics

- Dependencies and risks, including driver supply constraints, peak-hour demand spikes, regulatory blockers, fraud/abuse, pricing perception, and competitor response

- Rollback and mitigation plans for failed launches, degraded marketplace performance, safety incidents, or negative rider/driver sentiment

- Communication plan for riders, drivers, city operations, executives, support teams, and external stakeholders where relevant

The goal is to demonstrate how you would lead a complex, high-stakes launch in a global mobility marketplace: balancing speed with safety, experimentation with operational discipline, and product ambition with marketplace reliability.

What this question tests

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